Prognostic Significance of an 11-gene RNA Assay in Archival Tissue of Cutaneous Melanoma Stage I-III Patients
Overview
Authors
Affiliations
Purpose: The purpose of this study was to validate the results of an 11-gene expression profiling (GEP) assay which aims to improve the precision of individual prognosis beyond conventional American Joint Committee on Cancer staging for patients with cutaneous melanoma.
Methods: The reverse transcriptase polymerase chain reaction test of 11 prospectively selected genes was performed on 291 formalin-fixed, paraffin-embedded primary tumours of patients with stage I-III cutaneous melanoma. The expression levels of eight prognostic and three reference genes were used in a predefined algorithm to calculate a numerical score (-0.84 to 3.53) and then assign each patient to a preselected risk group (low versus high score) for melanoma-specific survival (MSS).
Results: One hundred twenty-seven patients were allocated to the low-score group, with a corresponding five-year disease-free survival (DFS) and MSS of 95% and 99%, respectively. 164 patients were allocated to the high-score group, with a corresponding five-year DFS and MSS of 78% and 88%. Continuous regression analysis demonstrated decreasing MSS probabilities with increasing scores. In a multivariate cox regression, only the 11-GEP, tumour thickness and age were statistically associated with MSS (p = 0.0068, 0.002 and 0.0159).
Conclusions: The 11-GEP has been validated as an independent predictor of outcome for melanoma patients. More specifically, using an 11-GEP score cut-off of ≤0, the assay can identify patient cohorts with 10-year survival probabilities well above 90%. This information may be used in the decision-making for a potential adjuvant therapy.
Perspectives in Melanoma: meeting report from the Melanoma Bridge (December 2nd - 4th, 2021, Italy).
Ascierto P, Agarwala S, Blank C, Caraco C, Carvajal R, Ernstoff M J Transl Med. 2022; 20(1):391.
PMID: 36058945 PMC: 9440864. DOI: 10.1186/s12967-022-03592-4.
Wang K, Pupo G, Tembe V, Patrick E, Strbenac D, Schramm S NPJ Digit Med. 2022; 5(1):85.
PMID: 35788693 PMC: 9253123. DOI: 10.1038/s41746-022-00618-5.
A novel endoplasmic reticulum stress-related lncRNA prognostic risk model for cutaneous melanoma.
Li A, Li F, Lan M, Zhang Y, Xie D, Yan M J Cancer Res Clin Oncol. 2022; 148(12):3227-3241.
PMID: 35687183 DOI: 10.1007/s00432-022-04086-y.
Development of an Image Analysis-Based Prognosis Score Using Google's Teachable Machine in Melanoma.
Forchhammer S, Abu-Ghazaleh A, Metzler G, Garbe C, Eigentler T Cancers (Basel). 2022; 14(9).
PMID: 35565371 PMC: 9105888. DOI: 10.3390/cancers14092243.
Farberg A, W Marson J, Glazer A, Litchman G, Svoboda R, Winkelmann R Dermatol Ther (Heidelb). 2022; 12(4):807-823.
PMID: 35353350 PMC: 9021351. DOI: 10.1007/s13555-022-00709-x.